Iteratively Refined Image Reconstruction with Learned Attentive Regularizers
Author:
Affiliation:
1. Biomedical Imaging Group, EPFL, Lausanne, Switzerland
2. Professorship of Inverse Problems, TU Chemnitz, Chemnitz, Germany
Funder
European Research Council
Swiss National Science Foundation
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/01630563.2024.2384849
Reference49 articles.
1. Biomedical Image Reconstruction: From the Foundations to Deep Neural Networks
2. Scherzer, O., Grasmair, M., Grossauer, H., Haltmeier, M., Lenzen, F. (2009). Variational Methods in Imaging, volume 167 of Applied Mathematical Sciences. New York: Springer.
3. Solution of incorrectly formulated problems and the regularization method;Tikhonov A. N.;Soviet Math,1963
4. Compressed sensing
5. A theory for multiresolution signal decomposition: the wavelet representation
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